Edit model card

Environmental Impact (CODE CARBON DEFAULT)

Metric Value
Duration (in seconds) 86416.36658287048
Emissions (Co2eq in kg) 0.0522918347544906
CPU power (W) 42.5
GPU power (W) [No GPU]
RAM power (W) 3.75
CPU energy (kWh) 1.020190469978421
GPU energy (kWh) [No GPU]
RAM energy (kWh) 0.0900159960093596
Consumed energy (kWh) 1.1102064659877855
Country name Switzerland
Cloud provider nan
Cloud region nan
CPU count 2
CPU model Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
GPU count nan
GPU model nan

Environmental Impact (for one core)

Metric Value
CPU energy (kWh) 0.16635150567202567
Emissions (Co2eq in kg) 0.0338464102449576

Note

12 juillet 2024

My Config

Config Value
checkpoint damgomz/fp_bs32_lr1e4_x1
model_name ft_8_14e6_x1
sequence_length 400
num_epoch 6
learning_rate 1.4e-05
batch_size 8
weight_decay 0.0
warm_up_prop 0.0
drop_out_prob 0.1
packing_length 100
train_test_split 0.2
num_steps 29328

Training and Testing steps

Epoch Train Loss Test Loss F-beta Score
0 0.000000 0.702067 0.555338
1 0.245497 0.215106 0.915351
2 0.163437 0.211216 0.937704
3 0.096328 0.227338 0.928359
4 0.047010 0.274355 0.908850
5 0.027821 0.302942 0.932638
6 0.017048 0.327978 0.934243
Downloads last month
5
Safetensors
Model size
11.7M params
Tensor type
F32
·
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.